{"id":"W2803343684","doi":"","title":"Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, Banff, AB, Canada - June 06 - 10, 2005","year":2005,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564506,0.0001262203,0.0002149921,0.00011362,0.0001543576,0.0001442476,0.001859096,0.00003432788,0.00002027692],"category_scores_gemma":[0.00007885782,0.00008450725,0.00002101669,0.0002772844,0.00005566104,0.0002322386,0.0008256662,0.0001097848,9.47626e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003769341,"about_ca_system_score_gemma":0.0000844259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01095335,"about_ca_topic_score_gemma":0.04149976,"domain_scores_codex":[0.9977544,0.00003883184,0.0005743382,0.0003947089,0.001065891,0.000171855],"domain_scores_gemma":[0.998317,0.0003142597,0.0003447039,0.000623204,0.0003190938,0.00008171496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002185862,0.0004046447,0.05154517,0.0004236504,0.0002843073,9.438396e-7,0.002921531,0.6144328,0.00282299,0.01797651,0.2223521,0.08661684],"study_design_scores_gemma":[0.000144248,0.000009053811,0.003461496,0.0002061844,0.00001382692,0.000002085259,0.0003293696,0.9660812,0.0000442715,0.000369077,0.02925233,0.00008684504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294121,0.001003757,0.05453269,0.005672382,0.0006757788,0.001137721,0.001526915,0.00008606163,0.005952576],"genre_scores_gemma":[0.9959884,0.0001640107,0.003236109,0.0001272669,0.000188828,0.000006943217,0.00005161288,0.000007538481,0.0002293382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3516485,"threshold_uncertainty_score":0.9956328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604044760318355,"score_gpt":0.3396900712539733,"score_spread":0.1792855952221377,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}